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Compare IBM Cloud Pak for Data vs. SAS Access

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Featured Review
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: November 2021.
555,139 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"The most valuable features are data virtualization and reporting."

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"The most valuable aspect of the solution is the ease of access to the data in those databases.""The most valuable part of SAS/ACCESS is what it is made for: connecting to remote systems that are not part of your physical SAS environment."

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Cons
"The technical support could be a little better."

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"The pricing model needs to be reconsidered and adjusted.""I can't really recall any missing feature or general improvement that is needed. We don't really add too many new kinds of databases and therefore our needs are already met."

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Pricing and Cost Advice
"I think that this product is too expensive for smaller companies."

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"The pricing model is complex and is based on modular packages as well as the size of the applicable environment."

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555,139 professionals have used our research since 2012.
Ranking
40th
Views
2,648
Comparisons
1,359
Reviews
1
Average Words per Review
428
Rating
5.0
22nd
Views
614
Comparisons
488
Reviews
2
Average Words per Review
1,673
Rating
9.5
Comparisons
Also Known As
Cloud Pak for Data
SAS/Access
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Overview

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

SAS/ACCESS is an out-of-the-box solution for integrating SAS and third-party databases. You can read, write and update data regardless of the database or platform. Because the data appears native to SAS, there is no need to learn Structured Query Language (SQL) or any other database-specific query languages.
Offer
Learn more about IBM Cloud Pak for Data
Learn more about SAS Access
Sample Customers
Qatar Development Bank, GuideWell, Skanderborg Music Festival
Los Angeles County, West Midlands Police, Credit Guarantee Corporation, Canada Post, Allianz Global Corporate & Specialty
Top Industries
VISITORS READING REVIEWS
Computer Software Company29%
Comms Service Provider19%
Financial Services Firm8%
Government8%
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider13%
Financial Services Firm12%
Healthcare Company8%
Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: November 2021.
555,139 professionals have used our research since 2012.

IBM Cloud Pak for Data is ranked 40th in Data Integration Tools with 1 review while SAS Access is ranked 22nd in Data Integration Tools with 2 reviews. IBM Cloud Pak for Data is rated 5.0, while SAS Access is rated 9.6. The top reviewer of IBM Cloud Pak for Data writes "Good reporting, but resource utilization is high and technical support can be improved". On the other hand, the top reviewer of SAS Access writes "Connect databases and create access to simplify complex processes with this powerful tool". IBM Cloud Pak for Data is most compared with Azure Data Factory, Palantir Foundry, Denodo, Mule Anypoint Platform and ETL Solutions Transformation Manager, whereas SAS Access is most compared with Talend Open Studio, Mule Anypoint Platform, Toad Data Point and Denodo.

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We monitor all Data Integration Tools reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.